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Natural-language critiques can transform how we evaluate and optimize song generation models, leading to more human-aligned outputs.
Ditch pixel-by-pixel processing: C$^2$SSM achieves state-of-the-art UHD image restoration by scanning semantic clusters, not individual pixels, for a massive efficiency boost.
MedXIAOHE leapfrogs closed-source systems on medical benchmarks by using entity-aware pretraining and RL-based reasoning, offering a new open-source foundation for medical AI.
Finally, a fully open-source, reproducible system for long-form song generation is here, complete with licensed data, code, and a Qwen-based model that rivals closed-source systems.
